Neuromorphic Computing Architectures for EnergyEfficient Edge Devices in Autonomous Vehicles-Reference-Cited by-同舟云学术

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Neuromorphic Computing Architectures for EnergyEfficient Edge Devices in Autonomous Vehicles

Published:2024-03-14 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)
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Author:

Pradhan Rahul¹,Gummadi Annapurna²,Tanusha P.³,Sowmya Gandla⁴,Vaitheeshwari S.⁵,M Ponni Valavan⁶

Affiliation:

1. GLA University,Department of Computer Science and Engineering,Mathura,Uttar Pradesh,India

2. CVR College of Engineering,Department of CSE (Data Science),Hyderabad,India

3. KL University,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India

4. NRI Institute of Technology,Department of Computer Science and Engineering,Vijayawada,Andhra Pradesh,India

5. Veltech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College,Department of Computer Science,Avadi,Chennai,India

6. K. Ramakrishnan College of Engineering,Department of AI & DS,Trichy,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527409/10527410/10527546.pdf?arnumber=10527546

Reference15 articles.

1. Towards Energy Efficient non-von Neumann Architectures for Deep Learning

2. Energy Efficiency of Machine Learning in Embedded Systems Using Neuromorphic Hardware

3. A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

4. Energy-Efficient Machine Learning on the Edges

5. Smart Traffic Navigation System for Fault-Tolerant Edge Computing of Internet of Vehicle in Intelligent Transportation Gateway

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